Dataset statistics
| Number of variables | 14 |
|---|---|
| Number of observations | 1912 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 209.2 KiB |
| Average record size in memory | 112.1 B |
Variable types
| NUM | 9 |
|---|---|
| CAT | 4 |
| BOOL | 1 |
width has constant value "1912" | Constant |
height has constant value "1912" | Constant |
counting has constant value "1912" | Constant |
filename has a high cardinality: 1031 distinct values | High cardinality |
area is highly correlated with width_obj and 2 other fields | High correlation |
width_obj is highly correlated with area and 1 other fields | High correlation |
height_obj is highly correlated with area and 1 other fields | High correlation |
scale is highly correlated with width_obj and 2 other fields | High correlation |
filename is uniformly distributed | Uniform |
Reproduction
| Analysis started | 2021-02-11 02:10:48.264261 |
|---|---|
| Analysis finished | 2021-02-11 02:11:08.185775 |
| Duration | 19.92 seconds |
| Software version | pandas-profiling v2.9.0 |
| Download configuration | config.yaml |
| Distinct | 1031 |
|---|---|
| Distinct (%) | 53.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 14.9 KiB |
| DJI_0029_1.jpg | 5 |
|---|---|
| DJI_601_2.jpg | 4 |
| DJI_03300_3.jpg | 4 |
| DJI_600_2.jpg | 4 |
| DJI_02800_3_1.jpg | 4 |
| Other values (1026) |
| Value | Count | Frequency (%) | |
| DJI_0029_1.jpg | 5 | 0.3% | |
| DJI_601_2.jpg | 4 | 0.2% | |
| DJI_03300_3.jpg | 4 | 0.2% | |
| DJI_600_2.jpg | 4 | 0.2% | |
| DJI_02800_3_1.jpg | 4 | 0.2% | |
| DJI_722_2.jpg | 4 | 0.2% | |
| DJI_580_5.jpg | 4 | 0.2% | |
| DJI_568_4.jpg | 4 | 0.2% | |
| DJI_0013_3000-1000.jpg | 4 | 0.2% | |
| DJI_568_8.jpg | 4 | 0.2% | |
| Other values (1021) | 1871 | 97.9% |
Frequencies of value counts
Unique
| Unique | 426 ? |
|---|---|
| Unique (%) | 22.3% |
Histogram of lengths of the category
Length
| Max length | 65 |
|---|---|
| Median length | 13 |
| Mean length | 19.70502092 |
| Min length | 13 |
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 14.9 KiB |
| 600 |
|---|
| Value | Count | Frequency (%) | |
| 600 | 1912 | 100.0% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 14.9 KiB |
| 600 |
|---|
| Value | Count | Frequency (%) | |
| 600 | 1912 | 100.0% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
class
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 14.9 KiB |
| missing knob | |
|---|---|
| missing insulator | |
| broken insulator | |
| rusty clamp |
| Value | Count | Frequency (%) | |
| missing knob | 787 | 41.2% | |
| missing insulator | 389 | 20.3% | |
| broken insulator | 369 | 19.3% | |
| rusty clamp | 367 | 19.2% |
Frequencies of value counts
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Histogram of lengths of the category
Length
| Max length | 17 |
|---|---|
| Median length | 12 |
| Mean length | 13.59728033 |
| Min length | 11 |
xmin
Real number (ℝ≥0)
| Distinct | 520 |
|---|---|
| Distinct (%) | 27.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 263.3948745 |
|---|---|
| Minimum | 1 |
| Maximum | 603 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 14.9 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 34.55 |
| Q1 | 149.75 |
| median | 252 |
| Q3 | 392 |
| 95-th percentile | 506 |
| Maximum | 603 |
| Range | 602 |
| Interquartile range (IQR) | 242.25 |
Descriptive statistics
| Standard deviation | 147.0365292 |
|---|---|
| Coefficient of variation (CV) | 0.5582361063 |
| Kurtosis | -0.998351046 |
| Mean | 263.3948745 |
| Median Absolute Deviation (MAD) | 115 |
| Skewness | 0.1332249282 |
| Sum | 503611 |
| Variance | 21619.74091 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 1 | 16 | 0.8% | |
| 256 | 11 | 0.6% | |
| 245 | 10 | 0.5% | |
| 269 | 10 | 0.5% | |
| 90 | 9 | 0.5% | |
| 497 | 9 | 0.5% | |
| 147 | 9 | 0.5% | |
| 253 | 9 | 0.5% | |
| 172 | 9 | 0.5% | |
| 82 | 9 | 0.5% | |
| Other values (510) | 1811 | 94.7% |
| Value | Count | Frequency (%) | |
| 1 | 16 | 0.8% | |
| 2 | 3 | 0.2% | |
| 3 | 4 | 0.2% | |
| 4 | 1 | 0.1% | |
| 5 | 2 | 0.1% |
| Value | Count | Frequency (%) | |
| 603 | 1 | 0.1% | |
| 599 | 1 | 0.1% | |
| 567 | 1 | 0.1% | |
| 561 | 1 | 0.1% | |
| 558 | 1 | 0.1% |
ymin
Real number (ℝ≥0)
| Distinct | 523 |
|---|---|
| Distinct (%) | 27.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 307.542364 |
|---|---|
| Minimum | 1 |
| Maximum | 613 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 14.9 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 59 |
| Q1 | 205 |
| median | 300 |
| Q3 | 439 |
| 95-th percentile | 525 |
| Maximum | 613 |
| Range | 612 |
| Interquartile range (IQR) | 234 |
Descriptive statistics
| Standard deviation | 146.7867888 |
|---|---|
| Coefficient of variation (CV) | 0.4772896549 |
| Kurtosis | -0.9356396286 |
| Mean | 307.542364 |
| Median Absolute Deviation (MAD) | 118.5 |
| Skewness | -0.1505527284 |
| Sum | 588021 |
| Variance | 21546.36136 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 1 | 17 | 0.9% | |
| 473 | 13 | 0.7% | |
| 272 | 11 | 0.6% | |
| 264 | 11 | 0.6% | |
| 475 | 11 | 0.6% | |
| 247 | 11 | 0.6% | |
| 477 | 11 | 0.6% | |
| 271 | 11 | 0.6% | |
| 266 | 11 | 0.6% | |
| 268 | 9 | 0.5% | |
| Other values (513) | 1796 | 93.9% |
| Value | Count | Frequency (%) | |
| 1 | 17 | 0.9% | |
| 2 | 1 | 0.1% | |
| 3 | 3 | 0.2% | |
| 4 | 1 | 0.1% | |
| 6 | 2 | 0.1% |
| Value | Count | Frequency (%) | |
| 613 | 1 | 0.1% | |
| 611 | 1 | 0.1% | |
| 600 | 1 | 0.1% | |
| 596 | 1 | 0.1% | |
| 592 | 1 | 0.1% |
xmax
Real number (ℝ≥0)
| Distinct | 510 |
|---|---|
| Distinct (%) | 26.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 351.9027197 |
|---|---|
| Minimum | 32 |
| Maximum | 640 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 14.9 KiB |
Quantile statistics
| Minimum | 32 |
|---|---|
| 5-th percentile | 108 |
| Q1 | 227 |
| median | 362 |
| Q3 | 475 |
| 95-th percentile | 577 |
| Maximum | 640 |
| Range | 608 |
| Interquartile range (IQR) | 248 |
Descriptive statistics
| Standard deviation | 147.6958454 |
|---|---|
| Coefficient of variation (CV) | 0.4197064619 |
| Kurtosis | -1.029236854 |
| Mean | 351.9027197 |
| Median Absolute Deviation (MAD) | 124 |
| Skewness | -0.1575395354 |
| Sum | 672838 |
| Variance | 21814.06275 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 353 | 11 | 0.6% | |
| 371 | 11 | 0.6% | |
| 595 | 10 | 0.5% | |
| 234 | 10 | 0.5% | |
| 327 | 10 | 0.5% | |
| 346 | 10 | 0.5% | |
| 375 | 10 | 0.5% | |
| 199 | 10 | 0.5% | |
| 481 | 9 | 0.5% | |
| 423 | 9 | 0.5% | |
| Other values (500) | 1812 | 94.8% |
| Value | Count | Frequency (%) | |
| 32 | 1 | 0.1% | |
| 35 | 1 | 0.1% | |
| 37 | 1 | 0.1% | |
| 44 | 1 | 0.1% | |
| 47 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 640 | 5 | 0.3% | |
| 613 | 1 | 0.1% | |
| 600 | 8 | 0.4% | |
| 599 | 1 | 0.1% | |
| 598 | 3 | 0.2% |
ymax
Real number (ℝ≥0)
| Distinct | 483 |
|---|---|
| Distinct (%) | 25.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 388.7588912 |
|---|---|
| Minimum | 19 |
| Maximum | 640 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 14.9 KiB |
Quantile statistics
| Minimum | 19 |
|---|---|
| 5-th percentile | 180.55 |
| Q1 | 306 |
| median | 379 |
| Q3 | 492 |
| 95-th percentile | 585.45 |
| Maximum | 640 |
| Range | 621 |
| Interquartile range (IQR) | 186 |
Descriptive statistics
| Standard deviation | 123.5412588 |
|---|---|
| Coefficient of variation (CV) | 0.3177837512 |
| Kurtosis | -0.5204190675 |
| Mean | 388.7588912 |
| Median Absolute Deviation (MAD) | 92 |
| Skewness | -0.1977835805 |
| Sum | 743307 |
| Variance | 15262.44262 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 347 | 12 | 0.6% | |
| 352 | 12 | 0.6% | |
| 499 | 12 | 0.6% | |
| 372 | 11 | 0.6% | |
| 357 | 11 | 0.6% | |
| 295 | 11 | 0.6% | |
| 488 | 11 | 0.6% | |
| 519 | 11 | 0.6% | |
| 419 | 11 | 0.6% | |
| 308 | 11 | 0.6% | |
| Other values (473) | 1799 | 94.1% |
| Value | Count | Frequency (%) | |
| 19 | 1 | 0.1% | |
| 27 | 1 | 0.1% | |
| 30 | 1 | 0.1% | |
| 34 | 2 | 0.1% | |
| 53 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 640 | 6 | 0.3% | |
| 628 | 1 | 0.1% | |
| 623 | 1 | 0.1% | |
| 622 | 1 | 0.1% | |
| 615 | 2 | 0.1% |
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 14.9 KiB |
| 1 |
|---|
| Value | Count | Frequency (%) | |
| 1 | 1912 | 100.0% |
| Distinct | 263 |
|---|---|
| Distinct (%) | 13.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 88.50784519 |
|---|---|
| Minimum | 19 |
| Maximum | 500 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 14.9 KiB |
Quantile statistics
| Minimum | 19 |
|---|---|
| 5-th percentile | 35 |
| Q1 | 50 |
| median | 69 |
| Q3 | 97 |
| 95-th percentile | 236 |
| Maximum | 500 |
| Range | 481 |
| Interquartile range (IQR) | 47 |
Descriptive statistics
| Standard deviation | 67.92371857 |
|---|---|
| Coefficient of variation (CV) | 0.767431615 |
| Kurtosis | 9.590652458 |
| Mean | 88.50784519 |
| Median Absolute Deviation (MAD) | 21 |
| Skewness | 2.836652853 |
| Sum | 169227 |
| Variance | 4613.631545 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 66 | 35 | 1.8% | |
| 48 | 34 | 1.8% | |
| 70 | 32 | 1.7% | |
| 52 | 31 | 1.6% | |
| 67 | 31 | 1.6% | |
| 69 | 31 | 1.6% | |
| 59 | 30 | 1.6% | |
| 50 | 29 | 1.5% | |
| 41 | 29 | 1.5% | |
| 61 | 28 | 1.5% | |
| Other values (253) | 1602 | 83.8% |
| Value | Count | Frequency (%) | |
| 19 | 1 | 0.1% | |
| 21 | 1 | 0.1% | |
| 22 | 2 | 0.1% | |
| 23 | 1 | 0.1% | |
| 24 | 3 | 0.2% |
| Value | Count | Frequency (%) | |
| 500 | 1 | 0.1% | |
| 498 | 2 | 0.1% | |
| 489 | 1 | 0.1% | |
| 478 | 1 | 0.1% | |
| 469 | 1 | 0.1% |
| Distinct | 259 |
|---|---|
| Distinct (%) | 13.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 81.2165272 |
|---|---|
| Minimum | 15 |
| Maximum | 512 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 14.9 KiB |
Quantile statistics
| Minimum | 15 |
|---|---|
| 5-th percentile | 26 |
| Q1 | 39 |
| median | 57 |
| Q3 | 96 |
| 95-th percentile | 222.45 |
| Maximum | 512 |
| Range | 497 |
| Interquartile range (IQR) | 57 |
Descriptive statistics
| Standard deviation | 72.44846364 |
|---|---|
| Coefficient of variation (CV) | 0.8920408954 |
| Kurtosis | 9.799948163 |
| Mean | 81.2165272 |
| Median Absolute Deviation (MAD) | 23 |
| Skewness | 2.864488295 |
| Sum | 155286 |
| Variance | 5248.779884 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 33 | 38 | 2.0% | |
| 44 | 37 | 1.9% | |
| 36 | 37 | 1.9% | |
| 40 | 36 | 1.9% | |
| 39 | 36 | 1.9% | |
| 37 | 36 | 1.9% | |
| 42 | 35 | 1.8% | |
| 38 | 35 | 1.8% | |
| 30 | 34 | 1.8% | |
| 47 | 33 | 1.7% | |
| Other values (249) | 1555 | 81.3% |
| Value | Count | Frequency (%) | |
| 15 | 2 | 0.1% | |
| 16 | 2 | 0.1% | |
| 17 | 7 | 0.4% | |
| 18 | 4 | 0.2% | |
| 19 | 10 | 0.5% |
| Value | Count | Frequency (%) | |
| 512 | 1 | 0.1% | |
| 498 | 1 | 0.1% | |
| 487 | 1 | 0.1% | |
| 480 | 1 | 0.1% | |
| 474 | 1 | 0.1% |
aspect_ratio
Real number (ℝ≥0)
| Distinct | 1415 |
|---|---|
| Distinct (%) | 74.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.287387278 |
|---|---|
| Minimum | 0.4 |
| Maximum | 5.277777778 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 14.9 KiB |
Quantile statistics
| Minimum | 0.4 |
|---|---|
| 5-th percentile | 0.6165617021 |
| Q1 | 0.8284798535 |
| median | 1.088279221 |
| Q3 | 1.639508197 |
| 95-th percentile | 2.410549002 |
| Maximum | 5.277777778 |
| Range | 4.877777778 |
| Interquartile range (IQR) | 0.8110283432 |
Descriptive statistics
| Standard deviation | 0.606270237 |
|---|---|
| Coefficient of variation (CV) | 0.4709307351 |
| Kurtosis | 3.083955024 |
| Mean | 1.287387278 |
| Median Absolute Deviation (MAD) | 0.3531107944 |
| Skewness | 1.332219108 |
| Sum | 2461.484475 |
| Variance | 0.3675636003 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 1 | 35 | 1.8% | |
| 1.333333333 | 12 | 0.6% | |
| 2 | 10 | 0.5% | |
| 1.571428571 | 6 | 0.3% | |
| 0.6666666667 | 6 | 0.3% | |
| 0.75 | 6 | 0.3% | |
| 1.083333333 | 6 | 0.3% | |
| 1.125 | 5 | 0.3% | |
| 1.051282051 | 5 | 0.3% | |
| 0.7142857143 | 5 | 0.3% | |
| Other values (1405) | 1816 | 95.0% |
| Value | Count | Frequency (%) | |
| 0.4 | 1 | 0.1% | |
| 0.4078947368 | 1 | 0.1% | |
| 0.4084507042 | 1 | 0.1% | |
| 0.4384615385 | 1 | 0.1% | |
| 0.4402985075 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 5.277777778 | 1 | 0.1% | |
| 5.166666667 | 1 | 0.1% | |
| 5.052631579 | 1 | 0.1% | |
| 4.117647059 | 1 | 0.1% | |
| 4.086956522 | 1 | 0.1% |
| Distinct | 1432 |
|---|---|
| Distinct (%) | 74.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11424.81747 |
|---|---|
| Minimum | 345 |
| Maximum | 256000 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 14.9 KiB |
Quantile statistics
| Minimum | 345 |
|---|---|
| 5-th percentile | 1080.55 |
| Q1 | 2109 |
| median | 3768.5 |
| Q3 | 8551.5 |
| 95-th percentile | 54056.1 |
| Maximum | 256000 |
| Range | 255655 |
| Interquartile range (IQR) | 6442.5 |
Descriptive statistics
| Standard deviation | 26288.56658 |
|---|---|
| Coefficient of variation (CV) | 2.301005391 |
| Kurtosis | 29.6447425 |
| Mean | 11424.81747 |
| Median Absolute Deviation (MAD) | 2094.5 |
| Skewness | 5.057784096 |
| Sum | 21844251 |
| Variance | 691088732.9 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 1560 | 7 | 0.4% | |
| 2016 | 6 | 0.3% | |
| 1925 | 6 | 0.3% | |
| 1599 | 6 | 0.3% | |
| 2730 | 5 | 0.3% | |
| 1890 | 5 | 0.3% | |
| 1188 | 5 | 0.3% | |
| 2736 | 5 | 0.3% | |
| 1404 | 5 | 0.3% | |
| 3120 | 5 | 0.3% | |
| Other values (1422) | 1857 | 97.1% |
| Value | Count | Frequency (%) | |
| 345 | 1 | 0.1% | |
| 361 | 1 | 0.1% | |
| 432 | 1 | 0.1% | |
| 440 | 1 | 0.1% | |
| 459 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 256000 | 1 | 0.1% | |
| 248004 | 1 | 0.1% | |
| 223533 | 1 | 0.1% | |
| 217566 | 1 | 0.1% | |
| 214622 | 1 | 0.1% |
| Distinct | 1432 |
|---|---|
| Distinct (%) | 74.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.1382907225 |
|---|---|
| Minimum | 0.03095695937 |
| Maximum | 0.8432740427 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 14.9 KiB |
Quantile statistics
| Minimum | 0.03095695937 |
|---|---|
| 5-th percentile | 0.05478619916 |
| Q1 | 0.07653975002 |
| median | 0.1023134888 |
| Q3 | 0.1541238662 |
| 95-th percentile | 0.3874976871 |
| Maximum | 0.8432740427 |
| Range | 0.8123170833 |
| Interquartile range (IQR) | 0.07758411613 |
Descriptive statistics
| Standard deviation | 0.1123293349 |
|---|---|
| Coefficient of variation (CV) | 0.8122694919 |
| Kurtosis | 10.6469867 |
| Mean | 0.1382907225 |
| Median Absolute Deviation (MAD) | 0.03192606325 |
| Skewness | 3.012836261 |
| Sum | 264.4118613 |
| Variance | 0.01261787947 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) | |
| 0.06582805886 | 7 | 0.4% | |
| 0.06664583008 | 6 | 0.3% | |
| 0.07312470323 | 6 | 0.3% | |
| 0.07483314774 | 6 | 0.3% | |
| 0.08774964387 | 5 | 0.3% | |
| 0.06749485577 | 5 | 0.3% | |
| 0.07245688373 | 5 | 0.3% | |
| 0.06244997998 | 5 | 0.3% | |
| 0.07745966692 | 5 | 0.3% | |
| 0.05744562647 | 5 | 0.3% | |
| Other values (1422) | 1857 | 97.1% |
| Value | Count | Frequency (%) | |
| 0.03095695937 | 1 | 0.1% | |
| 0.03166666667 | 1 | 0.1% | |
| 0.03464101615 | 1 | 0.1% | |
| 0.03496029494 | 1 | 0.1% | |
| 0.03570714214 | 1 | 0.1% |
| Value | Count | Frequency (%) | |
| 0.8432740427 | 1 | 0.1% | |
| 0.83 | 1 | 0.1% | |
| 0.7879879441 | 1 | 0.1% | |
| 0.7773995112 | 1 | 0.1% | |
| 0.772121896 | 1 | 0.1% |
Pearson\'s r
The Pearson\'s correlation coefficient (r) is a measure of linear correlation between two variables. It\'s value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman\'s ρ
The Spearman\'s rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson\'s r. It\'s value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall\'s τ
Similarly to Spearman\'s rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It\'s value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.First rows
| filename | width | height | class | xmin | ymin | xmax | ymax | counting | width_obj | height_obj | aspect_ratio | area | scale | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | ABESAN0015_3.jpg | 600 | 600 | broken insulator | 173 | 137 | 395 | 277 | 1 | 222 | 140 | 1.585714 | 31080 | 0.293825 |
| 1 | ABESAN0054_2.jpg | 600 | 600 | broken insulator | 215 | 119 | 371 | 237 | 1 | 156 | 118 | 1.322034 | 18408 | 0.226127 |
| 2 | ABESAN0054_3.jpg | 600 | 600 | broken insulator | 146 | 155 | 481 | 411 | 1 | 335 | 256 | 1.308594 | 85760 | 0.488080 |
| 3 | ABESAN0075_2.jpg | 600 | 600 | broken insulator | 183 | 119 | 437 | 296 | 1 | 254 | 177 | 1.435028 | 44958 | 0.353388 |
| 4 | ABESAN0075_3.jpg | 600 | 600 | broken insulator | 168 | 88 | 448 | 303 | 1 | 280 | 215 | 1.302326 | 60200 | 0.408928 |
| 5 | ADIYAN0024_02.jpg | 600 | 600 | missing insulator | 234 | 126 | 333 | 246 | 1 | 99 | 120 | 0.825000 | 11880 | 0.181659 |
| 6 | ADIYAN0024_03.jpg | 600 | 600 | missing insulator | 176 | 1 | 465 | 350 | 1 | 289 | 349 | 0.828080 | 100861 | 0.529310 |
| 7 | ADIYAN0024_03_jpg.rf.429af7288fa432a34a1086ad4ec9df15.jpg | 600 | 600 | missing insulator | 128 | 1 | 504 | 399 | 1 | 376 | 398 | 0.944724 | 149648 | 0.644739 |
| 8 | ADIYAN0024_03_jpg.rf.8a34828000d4a41c0bacb3795be2f8d7.jpg | 600 | 600 | missing insulator | 177 | 1 | 584 | 424 | 1 | 407 | 423 | 0.962175 | 172161 | 0.691538 |
| 9 | ADIYAN0029_02.jpg | 600 | 600 | missing insulator | 254 | 194 | 368 | 314 | 1 | 114 | 120 | 0.950000 | 13680 | 0.194936 |
Last rows
| filename | width | height | class | xmin | ymin | xmax | ymax | counting | width_obj | height_obj | aspect_ratio | area | scale | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1902 | SPINTEX0081_02.jpg | 600 | 600 | missing insulator | 277 | 199 | 350 | 276 | 1 | 73 | 77 | 0.948052 | 5621 | 0.124956 |
| 1903 | SPINTEX0081_03.jpg | 600 | 600 | missing insulator | 177 | 33 | 450 | 323 | 1 | 273 | 290 | 0.941379 | 79170 | 0.468953 |
| 1904 | YIDI0081-1_2.jpg | 600 | 600 | missing insulator | 172 | 236 | 279 | 322 | 1 | 107 | 86 | 1.244186 | 9202 | 0.159878 |
| 1905 | YIDI0081-1_2_jpg.rf.24b3c12eeeb7cade70c6b7ddc131a3db.jpg | 600 | 600 | missing insulator | 183 | 217 | 318 | 336 | 1 | 135 | 119 | 1.134454 | 16065 | 0.211246 |
| 1906 | YIDI0081-2_2.jpg | 600 | 600 | missing insulator | 207 | 139 | 394 | 291 | 1 | 187 | 152 | 1.230263 | 28424 | 0.280990 |
| 1907 | YIDI0081-2_2_jpg.rf.4ef9593b4cb9f6b2b4d43a6e6e9c921a.jpg | 600 | 600 | missing insulator | 227 | 130 | 460 | 335 | 1 | 233 | 205 | 1.136585 | 47765 | 0.364253 |
| 1908 | YIDI0081-2_2_jpg.rf.ef05ec2d13b4cb08d939d8980554a344.jpg | 600 | 600 | missing insulator | 226 | 130 | 459 | 335 | 1 | 233 | 205 | 1.136585 | 47765 | 0.364253 |
| 1909 | YIDI0081-2_3.jpg | 600 | 600 | missing insulator | 177 | 82 | 547 | 399 | 1 | 370 | 317 | 1.167192 | 117290 | 0.570794 |
| 1910 | YIDI0081-2_3_jpg.rf.c22ec6f8750b78c84df9c0a903ea8cc1.jpg | 600 | 600 | missing insulator | 7 | 61 | 476 | 490 | 1 | 469 | 429 | 1.093240 | 201201 | 0.747591 |
| 1911 | YIDI0081-2_3_jpg.rf.e8e1c0659412e16d51414343e92ab63f.jpg | 600 | 600 | missing insulator | 162 | 57 | 640 | 506 | 1 | 478 | 449 | 1.064588 | 214622 | 0.772122 |